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Freese, J.* ; Feller, S.* ; Harttig, U.* ; Kleiser, C. ; Linseisen, J. ; Fischer, B.* ; Leitzmann, M.F.* ; Six-Merker, J. ; Michels, K.B.* ; Nimptsch, K.* ; Steinbrecher, A.* ; Pischon, T.* ; Heuer, T.* ; Hoffmann, I.* ; Jacobs, G.* ; Boeing, H.* ; Nöthlings, U.*

Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies.

Eur. J. Clin. Nutr. 68, 324-329 (2014)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Background/Objectives:The validity of dietary assessment in large-scale cohort studies has been questioned. Combining data sources for the estimation of usual intake in a blended approach may enhance the validity of dietary measurement. Our objective was to develop a web-based 24-h food list for Germany to identify foods consumed during the previous 24 h and to evaluate the performance of the new questionnaire in a feasibility study.Subjects/Methods:Available data from the German National Nutrition Survey II were used to develop a finite list of food items. A total of 508 individuals were invited to fill in the 24-h food list via the Internet up to three times during a 3-6-month time period. In addition, participants were asked to evaluate the questionnaire using a brief online evaluation form.Results:In total, 246 food items were identified for the 24-h food list, reflecting >75% variation in intake of 27 nutrients and four major food groups. Among the individuals invited, 64% participated in the feasibility study. Of these, 100%, 85% and 68% of participants completed the 24-h food list one, two or three times, respectively. The average time needed to complete the questionnaire was 9 min, and its acceptability by participants was rated as high.Conclusions:The 24-h food list represents a promising new dietary assessment tool that can be used as part of a blended approach combining multiple data sources for valid estimation of usual dietary intake in large-scale cohort studies.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Nutritional Epidemiology ; Dietary Assessment ; Statistical Modelling; Episodically Consumed Foods; Frequency Questionnaire; Intake Distributions; Measurement Error; Epic-potsdam; Validation; Nutrients; Model; Epidemiology; Selection
ISSN (print) / ISBN 0954-3007
e-ISSN 1476-5640
Journal European Journal of Clinical Nutrition
Quellenangaben Volume: 68, Issue: 3, Pages: 324-329 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology II (EPI2)